code: def build_RNN_Architecture_template(self):
      from keras.models import Sequential
      from keras.layers import Dense, Dropout
      from keras.layers import LSTM
  
      # import theano
      # theano.config.reoptimize_unpickled_function = False
      # theano.config.cxx = ""
  
      lModel = Sequential()
      lModel.add(LSTM(self.mHiddenUnits, input_shape=(1, self.mNbLags)))
      lModel.add(Dropout(0.1))
      lModel.add(Dense(1))
      lModel.compile(loss="mse", optimizer="adam")
      return lModel
  
imports: import numpy
  import pandas
  from .None import SignalDecomposition_AR
  import sys
label_desc: Use image node_id 3 for calling the cLSTM_Model obj's underlying member method code with example usage: obj.build_RNN_Architecture_template() and returns: lModel